Ce projet est une implémentation du protocole MCP (Model Context Protocol) qui permet la communication entre des modèles d'IA et des outils externes.
Client spring ai main mcp server lets Claude, Cursor and other MCP clients work with Client Spring Ai Main directly. Ce projet est une implémentation du protocole MCP (Model Context Protocol) qui permet la communication entre des modèles d'IA et des outils externes. L'application est composée de trois composants principaux:.
Ce projet est une implémentation du protocole MCP (Model Context Protocol) qui permet la communication entre des modèles d'IA et des outils externes. L'application est composée de trois composants principaux:
The server is distributed via PyPI as fastmcp, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply one environment variable: CLAUDE_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Client Spring Ai Main sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"server-client-spring-ai-main": {
"command": "uvx",
"args": ["fastmcp"],
"env": {
"CLAUDE_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| CLAUDE_API_KEY | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.